PhD Machine Learning / Statistics Quants

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Eka Finance
  • 11 Aug 17

NYC Investment Firm are looking to grow their quant analyst team and to add an extra person who has very strong knowledge within machine learning/ statistics.

My client are a NYC based firm  who specialize in statistical arbitrage, pioneering machine learning techniques, and cutting-edge technology which allows them to gain fresh momentum within the competitive arena of investment management. The firm’s investment approach uses statistical and machine / deep learning techniques to generate predictive signals that identify market inefficiencies and investment opportunities used to trade. The firm has a very scientific and employee centric culture, and has a result attracted and retained some of the brightest minds in the industry, and has an exceptionally successful investment track record. The quant research group consists of PhD and leading data scientists from some of the elite machine learning driven technology start ups .

Requirements:

PhD in  Statistics / Machine Learning ideally. They will also consider  PHD ‘s in Computer Science, Operations Research, Statistics, Maths or Physics or similar quantitative subjects. 

Ideally with post graduate research in an   area applicable to separating noise from real data off large + noisy data sets. You should be able to demonstrate that you are able to conduct research using large data sets.

Some experience in natural language processing and/or machine learning is favourable.

Exceptional knowledge of statistics/ time series analysis/ probabilities.

Experience with modern statistical research techniques and a deep technical understanding of how and why they work

You should be able to program in C++, Python, Java.

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